↓ Skip to main content

MORPH-PRO: a novel algorithm and web server for protein morphing

Overview of attention for article published in Algorithms for Molecular Biology, July 2013
Altmetric Badge

Mentioned by

facebook
1 Facebook page

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
17 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
MORPH-PRO: a novel algorithm and web server for protein morphing
Published in
Algorithms for Molecular Biology, July 2013
DOI 10.1186/1748-7188-8-19
Pubmed ID
Authors

Natalie E Castellana, Andrey Lushnikov, Piotr Rotkiewicz, Natasha Sefcovic, Pavel A Pevzner, Adam Godzik, Kira Vyatkina

Abstract

Proteins are known to be dynamic in nature, changing from one conformation to another while performing vital cellular tasks. It is important to understand these movements in order to better understand protein function. At the same time, experimental techniques provide us with only single snapshots of the whole ensemble of available conformations. Computational protein morphing provides a visualization of a protein structure transitioning from one conformation to another by producing a series of intermediate conformations.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 6%
United States 1 6%
Unknown 15 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 41%
Student > Bachelor 3 18%
Student > Ph. D. Student 2 12%
Professor 2 12%
Student > Master 1 6%
Other 1 6%
Unknown 1 6%
Readers by discipline Count As %
Chemistry 4 24%
Agricultural and Biological Sciences 4 24%
Biochemistry, Genetics and Molecular Biology 2 12%
Computer Science 2 12%
Philosophy 1 6%
Other 1 6%
Unknown 3 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 September 2013.
All research outputs
#20,203,867
of 22,723,682 outputs
Outputs from Algorithms for Molecular Biology
#233
of 264 outputs
Outputs of similar age
#170,438
of 194,310 outputs
Outputs of similar age from Algorithms for Molecular Biology
#2
of 2 outputs
Altmetric has tracked 22,723,682 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 264 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 194,310 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.